Alessio Paschè
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 3
-
- COVID-19 Clinical Research Studies 3
- Co-authors
- Alessandro Carriero (10 shared papers)Luca Saba (7 shared papers)Zeno Falaschi (8 shared papers)Pietro Danna (3 shared papers)Abdelkader Mahammedi (1 shared paper)Mary F. Gaskill (2 shared papers)Achala Vagal (1 shared paper)Bin Zhang (1 shared paper)
- Journals
- Radiology (2 papers)European Journal of Radiology (1 paper)Journal of Medical Systems (1 paper)European Journal of Clinical Microbiology & Infectious Diseases (1 paper)Physica Medica (1 paper)
- Partner nations
- ItalyUnited StatesIran
In The Last Decade
Alessio Paschè
12 papers receiving 373 citations
Peers
Comparison fields: 5 of 60
- Health Informatics 20
- Neurology 134
- Infectious Diseases 122
- Critical Care and Intensive Care Medicine 28
- Radiology, Nuclear Medicine and Imaging 119
Countries citing papers authored by Alessio Paschè
This map shows the geographic impact of Alessio Paschè's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alessio Paschè with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessio Paschè more than expected).
Fields of papers citing papers by Alessio Paschè
This network shows the impact of papers produced by Alessio Paschè. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alessio Paschè. The network helps show where Alessio Paschè may publish in the future.
Co-authors
The 25 scholars most cited alongside Alessio Paschè, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 137 | |
| 2 | 2020 | 49 | |
| 3 | 2021 | 46 | |
| 4 | 2021 | 41 | |
| 5 | 2006 | 35 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2018 | 13 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 1 |
About Alessio Paschè
Alessio Paschè is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Neurology, Atomic and Molecular Physics, and Optics and Epidemiology, having authored 12 papers that have together received 377 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 diagnosis using AI (3 papers), Atomic and Subatomic Physics Research (2 papers), Respiratory viral infections research (2 papers), Long-Term Effects of COVID-19 (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Health Informatics (20 citations), Neurology (134 citations), Infectious Diseases (122 citations), Critical Care and Intensive Care Medicine (28 citations) and Radiology, Nuclear Medicine and Imaging (119 citations). Alessio Paschè has collaborated with scholars based in Italy, United States and Iran. Frequent co-authors include Alessandro Carriero, Luca Saba, Zeno Falaschi, Pietro Danna, Abdelkader Mahammedi, Mary F. Gaskill, Achala Vagal, Bin Zhang, Roberto Gasparotti and Soma Sengupta. Their work appears in journals such as Radiology, European Journal of Radiology, Journal of Medical Systems, European Journal of Clinical Microbiology & Infectious Diseases and Physica Medica.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.